Sayyed Mostafa Mostafavi
Papers
5
Total Citations
69
H-Index
4
About
Sayyed Mostafa Mostafavi is a researcher specializing in neurorehabilitation engineering, with a particular focus on robotic assessment of neurological impairments following stroke. His work sits at the intersection of robotics, clinical neuroscience, and machine learning, leveraging advanced robotic platforms — most notably the KINARM exoskeleton — to develop objective, reliable tools for quantifying sensorimotor, proprioceptive, and cognitive deficits in stroke survivors. Mostafavi's most significant contribution lies in demonstrating that robot-based evaluations can predict meaningful clinical outcomes, including functional independence measures and stroke-related diagnostic markers, outperforming traditional subjective assessment methods that suffer from inter-rater variability. His most cited work (2015, 32 citations) identified key biomarkers from robotic assessments capable of predicting patients' functional independence, offering clinicians a powerful prognostic tool. Complementing this, he developed hierarchical task selection strategies to substantially reduce assessment time without compromising diagnostic accuracy — a practical innovation that improves clinical feasibility of robotic evaluation protocols. Collectively accumulating nearly 70 citations, Mostafavi's research has meaningfully advanced the standardization and efficiency of stroke rehabilitation assessment, helping bridge the gap between sophisticated robotic technology and real-world clinical practice. His work provides a compelling foundation for integrating automated, data-driven tools into neurological recovery care.
Research Focus
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Top Papers
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